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PMID: 37760104 Published · epublish English Journal Article

Evaluating Short-Term and Long-Term Risks Associated with Renal Artery Stenosis Position and Severity: A Hemodynamic Study.

Bioengineering (Basel, Switzerland) ·Vol. 10 ·No. 9 ·2023-08-24

Zhao Y, Shi Y, Jin Y, Cao Y, Song H, Chen L, Li F, Li X, Chen W

Abstract

Background: Moderate renal artery stenosis (50-70%) may lead to uncontrolled hypertension and eventually cause irreversible damage to renal function. However, the clinical criteria for interventional treatment are still ambiguous in this condition. This study investigated the impact of the position and degree of renal artery stenosis on hemodynamics near the renal artery to assess the short-term and long-term risks associated with this disease. Methods: Calculation models with different degrees of stenosis (50%, 60%, and 70%) located at different positions in the right renal artery were established based on the computed tomography angiography (CTA) of a personalized case. And computational fluid dynamics (CFD) was used to analyze hemodynamic surroundings near the renal artery. Results: As the degree of stenosis increases and the stenosis position is far away from the aorta, there is a decrease in renal perfusion. An analysis of the wall shear stress (WSS)-related parameters indicated areas near the renal artery (downstream of the stenosis and the entrance of the right renal artery) with potential long-term risks of thrombosis and inflammation. Conclusion: The position and degree of stenosis play a significant role in judging short-term risks associated with renal perfusion. Moreover, clinicians should consider not only short-term risks but also independent long-term risk factors, such as certain regions of 50% stenosis with adequate renal perfusion may necessitate prompt intervention.

Keywords
computational fluid dynamics hemodynamics renal artery stenosis renal perfusion
作者与单位
共 9 位作者,点击展开单位 / ORCID
Zhao Yawei
College of Biomedical Engineering, Taiyuan University of Technology, Taiyuan 030024, China.
Shi Yike
College of Biomedical Engineering, Taiyuan University of Technology, Taiyuan 030024, China.
Jin Yusheng
College of Biomedical Engineering, Taiyuan University of Technology, Taiyuan 030024, China.
Cao Yifan
College of Biomedical Engineering, Taiyuan University of Technology, Taiyuan 030024, China.
Song Hui ORCID
College of Mechanical and Vehicle Engineering, Taiyuan University of Technology, Taiyuan 030024, China. | Institute of Applied Mechanics, Taiyuan University of Technology, Taiyuan 030024, China.
Chen Lingfeng
College of Biomedical Engineering, Taiyuan University of Technology, Taiyuan 030024, China.
Li Fen
College of Mechanical and Vehicle Engineering, Taiyuan University of Technology, Taiyuan 030024, China. | Institute of Applied Mechanics, Taiyuan University of Technology, Taiyuan 030024, China.
Li Xiaona
College of Biomedical Engineering, Taiyuan University of Technology, Taiyuan 030024, China.
Chen Weiyi
College of Biomedical Engineering, Taiyuan University of Technology, Taiyuan 030024, China.
Article Info
Journal
Bioengineering (Basel, Switzerland)
Abbr.
Bioengineering (Basel)
ISSN
2306-5354
Published
2023-08-24
电子出版
2023-00-24
Language
English
Country/Region
Switzerland
NLM ID
101676056
基金资助
the National Natural Science Foundation of China · 12002231
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